scholarly journals Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Husein Pasha ◽  
Isa Nakhai Kamalabadi ◽  
Alireza Eydi
Keyword(s):  
Mixed Integer ◽  
High Quality ◽  
Swarm Optimization ◽  
Integrated Production ◽  
Quality Degradation ◽  
Production Distribution ◽  
Quality Of Products ◽  
Over Time

The integrated production-distribution (P-D) planning has turned into one of the most essential areas in supply chain (SC) management in recent years, especially in the case of perishable products in which the quality of products can change over time. Nonetheless, so far, the suggested models have focused on the P-D stages of the chain while the delivery of high-quality products to customers is of paramount significance in the perishable SC. In the present paper, a multiobjective, mixed-integer, and nonlinear programming (MOMINLP) mathematical model was developed for integrated P-D deteriorating items in a two-echelon SC that emphasizes quality degradation. Quality is monitored and calculated as a function of temperature and time throughout the SC, and the main purpose of the model is to first increase the quality of products delivered to customers and, second, minimize the SC costs. To optimize the problem, the particle swarm optimization (PSO) approach was also incorporated into the model. The obtained model was applied to a case study in Protein Gostar Sina Company in Iran, which resulted in decreased P-D costs as well as increased customer satisfaction.

scholarly journals Using the Google™ Search Engine for Health Information: Is There a Problem? Case Study: Supplements for Cancer

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Hannah C Cai ◽  
Leanne E King ◽  
Johanna T Dwyer
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Information Quality ◽  
Nutrition Information ◽  
High Quality ◽  
Search Results ◽  
Health And Nutrition ◽  
Quality Rating

ABSTRACT We assessed the quality of online health and nutrition information using a Google™ search on “supplements for cancer”. Search results were scored using the Health Information Quality Index (HIQI), a quality-rating tool consisting of 12 objective criteria related to website domain, lack of commercial aspects, and authoritative nature of the health and nutrition information provided. Possible scores ranged from 0 (lowest) to 12 (“perfect” or highest quality). After eliminating irrelevant results, the remaining 160 search results had median and mean scores of 8. One-quarter of the results were of high quality (score of 10–12). There was no correlation between high-quality scores and early appearance in the sequence of search results, where results are presumably more visible. Also, 496 advertisements, over twice the number of search results, appeared. We conclude that the Google™ search engine may have shortcomings when used to obtain information on dietary supplements and cancer.

scholarly journals Dynamic Signaling with Dropout Risk

2016 ◽  
Vol 8 (1) ◽  
pp. 57-82 ◽  
Author(s):  
Francesc Dilmé ◽  
Fei Li
Keyword(s):  
Time Varying ◽  
High Quality ◽  
Indivisible Good ◽  
Initial Belief ◽  
Costly Delay ◽  
Over Time

We study the role of dropout risk in dynamic signaling. A seller privately knows the quality of an indivisible good and decides when to trade. In each period, he may draw a dropout shock that forces him to trade immediately. To avoid costly delay, the seller with a low-quality good voluntarily pools with early dropouts, implying that the expected quality of the good increases over time. We characterize the time-varying equilibrium trading dynamics. It is demonstrated that the maximum equilibrium delay of trade is decreasing in the initial belief that the good is of high quality. (JEL C73, D82, D83)

An open-source R-package and web application for high-quality probabilistic predictions in hydrology

2021 ◽  
Author(s):  
Jason Hunter ◽  
Mark Thyer ◽  
Dmitri Kavetski ◽  
David McInerney
Keyword(s):  
Open Source ◽  
Web Application ◽  
R Package ◽  
Error Model ◽  
Objective Functions ◽  
High Quality ◽  
Wide Range ◽  
Probabilistic Error

<p>Probabilistic predictions provide crucial information regarding the uncertainty of hydrological predictions, which are a key input for risk-based decision-making. However, they are often excluded from hydrological modelling applications because suitable probabilistic error models can be both challenging to construct and interpret, and the quality of results are often reliant on the objective function used to calibrate the hydrological model.</p><p>We present an open-source R-package and an online web application that achieves the following two aims. Firstly, these resources are easy-to-use and accessible, so that users need not have specialised knowledge in probabilistic modelling to apply them. Secondly, the probabilistic error model that we describe provides high-quality probabilistic predictions for a wide range of commonly-used hydrological objective functions, which it is only able to do by including a new innovation that resolves a long-standing issue relating to model assumptions that previously prevented this broad application.  </p><p>We demonstrate our methods by comparing our new probabilistic error model with an existing reference error model in an empirical case study that uses 54 perennial Australian catchments, the hydrological model GR4J, 8 common objective functions and 4 performance metrics (reliability, precision, volumetric bias and errors in the flow duration curve). The existing reference error model introduces additional flow dependencies into the residual error structure when it is used with most of the study objective functions, which in turn leads to poor-quality probabilistic predictions. In contrast, the new probabilistic error model achieves high-quality probabilistic predictions for all objective functions used in this case study.</p><p>The new probabilistic error model and the open-source software and web application aims to facilitate the adoption of probabilistic predictions in the hydrological modelling community, and to improve the quality of predictions and decisions that are made using those predictions. In particular, our methods can be used to achieve high-quality probabilistic predictions from hydrological models that are calibrated with a wide range of common objective functions.</p>

scholarly journals Quality characteristics of spatial furniture

2009 ◽  
pp. 135-145 ◽  
Author(s):  
Dusan Skakic ◽  
Igor Dzincic
Keyword(s):  
Quality Control ◽  
Quality Characteristics ◽  
High Quality ◽  
Production Economy ◽  
Production Practice ◽  
Basic Quality ◽  
Quality Of Products ◽  
Quality Production

The quality of products represents one of the key aims of any modern organized production. In the production practice, it is essential to establish the optimal relationship between quality, production economy and delivery deadlines. Furniture quality is evaluated by three levels and they are: basic quality, high quality and especially high quality. The results presented in this paper are based on the sample measurements of chairs and tables during 2007 and 2008 at the Institute for Furniture Quality Control.

scholarly journals Directions for Improving the Quality of Products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl»

2020 ◽  
Vol 10 (513) ◽  
pp. 197-203
Author(s):  
O. I. Garafonova ◽  
◽  
I. F. Nechai ◽  
Keyword(s):  
Product Quality ◽  
Product Life Cycle ◽  
Quality Parameters ◽  
Quality Level ◽  
Business Organization ◽  
High Quality ◽  
The World ◽  
Developing Directions ◽  
Quality Of Products

In the world, product quality has long been one of the major instruments for ensuring the economic development of companies. Achieving high quality parameters, in turn, is an important part of the economic strategy of any success-oriented business organization. The article is aimed at developing directions for improving products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The object of the research is the quality of beer produced by PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The assessment of the quality level of the selected product in accordance with the requirements of DSTU 3888:2015 was carried out using the following groups of indicators: microbiological, organoleptic and physic-chemical. The process of assessing the product quality parameters is presented, which consists of seven consecutive stages and is carried out throughout the product life cycle. The factors under the influence of which the quality of products are formed and which may cause deviation from the specified quality parameters are analyzed and structured. The defects that appear due to these factors have been identified. The basis for improving the quality of products is primarily a thorough study of changes in demand for the business organization products. Three groups of measures are singled out, with the help of which one can achieve the desired level of product quality, namely: technological, organizational and socio-economic. A complex of priority measures to improve the quality of products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl» is proposed. The element of scientific novelty is the development of an algorithm for the implementation of measures to improve the quality of products. During the implementation of measures to improve the quality, it is necessary to carry out systematic monitoring and generate reports on the implementation of the project in order to make possible an adjustment of the final result.

Taguchi's Loss Function in the Weight Quality of Products: Case Study of Cheese Making

2021 ◽  
pp. 453-466
Author(s):  
Nicolás Francisco Mateo-Díaz ◽  
Lidilia Cruz-Rivero ◽  
Luis Adolfo Meraz-Rivera ◽  
Jesús Ortiz-Martínez
Keyword(s):  
Loss Function ◽  
Cheese Making ◽  
Quality Of Products ◽  
Taguchi’S Loss Function

A Quality and Partnering-Based Model for Improving Supply Chain Performance

2013 ◽  
Vol 4 (3) ◽  
pp. 1-31 ◽  
Author(s):  
Kanchan Das ◽  
Scott A. Dellana
Keyword(s):  
Supply Chain ◽  
Mixed Integer ◽  
Supply Chain Performance ◽  
High Quality ◽  
Random Data ◽  
Input Quality ◽  
Select Group ◽  
Acceptable Quality ◽  
Operation Parameters

This study proposes a Supplier Quality Affiliation (SQA) approach that is integrated into a mixed integer programming Strategic Supply Chain Management (SSCM) model for overall improvement of the supply chain business process. A pool of acceptable quality and high quality suppliers are affiliated using multi-dimensional quality attributes for the supplier operation parameters in the SQA model. Based on the pre-defined partnering attributes, the SQA model next identifies a select group of high quality suppliers that can be converted into partners. The outcome of the SQA model is then integrated into the SSCM model for ensuring input quality while providing several options for overall business gains of the supply chain members, which include suppliers, manufacturers, and retailers. Applicability of the SQA model is investigated using a real world case study and the SSCM model is illustrated with a numerical example using random data.

scholarly journals Using Multivariate Statistical Methods to Analyze High-Quality Bicycle Path Service Systems: A Case Study of Popular Bicycle Paths in Taiwan

2020 ◽  
Vol 12 (17) ◽  
pp. 7185
Author(s):  
Shinn-Jou Lin ◽  
Guey-Shin Shyu ◽  
Wei-Ta Fang ◽  
Bai-You Cheng
Keyword(s):  
Explanatory Power ◽  
Value Added ◽  
Service Systems ◽  
Image Management ◽  
High Quality ◽  
Multivariate Statistical ◽  
The Individual ◽  
Quantitative Indicators

Taiwan has promoted bicycle tourism for nearly 20 years, and the bicycle paths it has constructed throughout the island are diverse in design. In the present study, an evaluation scale for bicycle path sightseeing potential was devised with a focus on the overall service quality of the paths; 30 popular bicycle paths were analyzed using a field survey, with expert consultation on quantitative indicators, and a qualitative analysis entailing interviews with people regarding the bicycle paths. A multivariate statistical analysis was performed on the quality of the service systems for these paths. The results revealed that the quality of these service systems is influenced by four principal components, namely, landscape attractiveness, image management, bicycle-specific paths, and accessibility, for a total explanatory power of 76.21%; the individual explanatory power of these components was 25.89%, 21.49%, 16.81%, and 12.03%, respectively. Bicycle path conditions, service maintenance, and cleanliness and bicycle specificity are required for future high-quality bicycle paths; diverse bicycle rental services and bicycle types, entrance visibility, and ecological introduction boards along paths are value-added factors to bicycle path quality.

Visibility Analysis for Assembly Fixture Calibration Using Screen Space Transformation

2003 ◽  
Author(s):  
Zhenyu Kong ◽  
Wenzhen Huang ◽  
Dariusz Ceglarek
Keyword(s):  
Visibility Analysis ◽  
Space Transformation ◽  
Significant Burden ◽  
New Type ◽  
Quality Of Products ◽  
Screen Space ◽  
Calibration Time ◽  
Assembly Fixture

In a number of manufacturing processes, tooling installation, calibration and maintenance guarantee the precision of fixtures and play important roles towards the overall quality of products. Recently a new type of measurement equipment called “laser tracker” was developed and utilized for assembly fixture calibration to shorten calibration time and improve the accuracy of the currently used theodolite systems. Though, the calibration of assembly fixture is critical for product quality, the calibration time creates significant burden for productivity of multi-station assembly processes. In order to shorten the calibration lead time, the number of necessary calibration setups which is determined by visibility analysis needs to be minimized. This paper presents a screen space transformation based visibility analysis that allows minimizing the number of setups. The screen space transformation is applied to transform the visibility problem from 3D to 2D space, consequently the visibility problem can be solved efficiently. A case study illustrates the procedure and verifies the validity of the proposed methodology.

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